AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 24 · 40 questions

AI tip (Name the idea, then answer): Learning from examples → AI; fixed rules → a normal program. Order: training data → model → prediction; good data is many, varied and correctly labelled. Generative AI makes new things and can hallucinate; one-sided data causes bias.

1. 1.True or false: “same steps every time” describes how AI works. (a) True (b) False
2. 2.Which of these is a fact about AI? (a) confident means correct (b) AI knows everything (c) AI is never wrong (d) AI can be wrong
3. 3.✨ Is everything a generative AI makes true? (a) no, it can be wrong (b) only on Mondays (c) yes, always
4. 4.Which of these describes how a normal program works? (a) never learns from data (b) gives a likely answer (c) handles unseen examples (d) spots patterns in data
5. 5.📺 A video app suggests what to watch next. What is the AI doing? (a) cooking (b) charging (c) printing (d) recommending
6. 6.✨ Generative or not: making up a story? (a) makes something new (b) sorts or predicts
7. 7.🤖 AI or a normal program: which one “makes a best guess”? (a) AI (b) a normal program
8. 8.Which of these is a fact about AI? (a) long answers are true (b) AI knows everything (c) AI can make up facts (d) AI has real feelings
9. 9.✨ Generative or not: drafting a letter? (a) makes something new (b) sorts or predicts
10. 10.Which of these is not AI? (a) an app translating signs (b) a fan regulator (c) face unlock on a phone (d) a map predicting traffic
11. 11.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) data, prediction, model (d) prediction, data, model
12. 12.True or false: “many varied examples” is bad for training a model. (a) False (b) True
13. 13.💬 What do we call the request you type to a generative AI? (a) a prompt (b) a password (c) a label (d) a battery
14. 14.True or false: “balance the data” helps reduce bias. (a) True (b) False
15. 15.🏠 AI or not AI: a digital watch? (a) uses AI (b) not AI
16. 16.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it will shut down (c) it may get it wrong (d) it will turn yellow
17. 17.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
18. 18.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) needs AI (learning) (b) a simple rule is enough
19. 19.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) ask it to hurry (b) check it on paper (c) never do maths (d) copy it straight away
20. 20.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) spam (b) not spam
21. 21.Which of these is a myth about AI? (a) AI copies data patterns (b) AI can make up facts (c) AI can mix up numbers (d) AI is never wrong
22. 22.Which of these describes how AI works? (a) learns from examples (b) same steps every time (c) follows fixed rules (d) uses rules people wrote
23. 23.✅ Is this a real check of an AI answer: it sounds very sure? (a) not a real check (b) a real check
24. 24.True or false: “typing a new spoken word” is training data. (a) True (b) False
25. 25.Which of these is a myth about AI? (a) AI answers need checking (b) AI copies data patterns (c) long answers are true (d) AI can make up facts
26. 26.🔍 Which is the odd one out? (a) a light switch (b) a digital watch (c) a doorbell (d) video suggestions
27. 27.✅ Is this a real check of an AI answer: match it to the textbook? (a) not a real check (b) a real check
28. 28.True or false: “it sounds very sure” is a real way to check an AI answer. (a) False (b) True
29. 29.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) spam (b) not spam
30. 30.True or false: “find a trusted source” is a real way to check an AI answer. (a) True (b) False
31. 31.Which of these is good for training a model? (a) only one kind of example (b) wrong labels (c) copies of one photo (d) many varied examples
32. 32.🔦 Is a torch with an on/off switch AI? (a) no (b) only if it is bright (c) yes
33. 33.Which of these is generative AI (it makes something new)? (a) predicting rain (b) unlocking with a face (c) spotting spam (d) writing a new poem
34. 34.⏩ In machine learning, which comes first: naming a new fruit photo or past weather records? (a) naming a new fruit photo (b) past weather records
35. 35.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
36. 36.Which of these uses AI? (a) a stopwatch (b) a spam filter (c) a light switch (d) a printed timetable
37. 37.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
38. 38.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
39. 39.Which of these uses AI? (a) a light switch (b) a map predicting traffic (c) a digital watch (d) a kitchen weighing scale
40. 40.True or false: “AI answers need checking” is a fact about AI. (a) False (b) True

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